Biography
Nandita Mitra is Professor of Biostatistics at the Perelman School of Medicine and Professor of Statistics and Data Science at Wharton at the University of Pennsylvania. She is also the co-director of the Penn Center for Causal Inference. She received her BA in Mathematics from Brown University, MA in Biostatistics from the University of California, Berkeley, PhD in Biostatistics from Columbia University, and completed a postdoctoral fellowship at Harvard.
She is the Editor-in-Chief of Observational Studies, Elected Fellow of the American Statistical Association (ASA) and the current President of the Society for Causal Inference.
Her primary research area is causal inference with a focus on developing semiparametric approaches for instrumental variable, difference-in-differences, and sensitivity analysis methods for observational data with applications in cancer, health policy, and health economics. Dr. Mitra has published over 325 manuscripts in statistical, clinical, and public health journals. She is passionate about developing and applying causal inference methods for the evaluation of nutrition policies. She has collaborated with Dr. Roberto and the Center for Food and Nutrition Policy on several studies and is currently the PI of an R01 titled “Causal Effect Estimation of Public Policies on Purchasing Behaviors, Consumption, and Health Outcomes”.
